Extreme Value Charts and Analysis of Means (ANOM) Based on the Log Logistic Distribution

Rao, B. Srinivasa; Reddy, J. Pratapa; Babu, G. Sarath

doi:10.22237/jmasm/1351743540

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Monitoring Of Time Between Failures With Respect To Ird and Ihld1

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“…Using the data values of Aarset (1987) [9] we can get the MLE of  for IRD which in turn will be useful with the help of equations (4), (5) and (6) to get the UCL, CL and LCL of the control chart. However, the parameter "b" of IHLD is estimated by a regression approach as described below.…”

Section: Monitoring Of Time Between Failures With Respect To Ird and Ihldmentioning

confidence: 99%

Time Control Chart for Two Inverted Models

Rao¹,

Latha²,

Kantam³

2018

IJET

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Control charts are one of the powerful techniques of Statistical Process Control. Control charts are widely accepted and applied in industry which can be used to improve productivity, prevent defects and unnecessary process adjustment. Moreover, they also provide information in diagnosis and process capability. Life time data generally contain the failure times of sample products or inter failure times or number of failures experienced in a given time. The time to failure of a product is to be considered as a quality characteristic to assess the quality of the product. Control limits are evaluated for the time to failure. In this paper the time to failure of a product is considered to follow Inverse Rayleigh and Inverse Half Logistic distributions. Life time data are compared with the control limits to judge the quality performance of the product.

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Section: Monitoring Of Time Between Failures With Respect To Ird and Ihldmentioning

confidence: 99%